Evidence map›Paper›PMID 29066758›Full record

ArticleScientific reports2017

Genomic predictive model for recurrence and metastasis development in head and neck squamous cell carcinoma patients.

Ilda Patrícia Ribeiro, Francisco Caramelo, Luísa Esteves, Joana Menoita, Francisco Marques, Leonor Barroso, Jorge Miguéis, Joana Barbosa Melo, Isabel Marques Carreira

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 48 citations in OpenAlex.

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  8. A practical recurrence risk model based on Lasso-Cox regression for gastric cancer.Journal of cancer research and clinical oncology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Ilda Patrícia RibeiroCytogenetics and Genomics Laboratory, Faculty of Medicine, University of Coimbra, 3000-354, Coimbra, Portugal.
Francisco CarameloLaboratory of Biostatistics and Medical Informatics, IBILI - Faculty of Medicine, University of Coimbra, 3000-354, Coimbra, Portugal.
Luísa EstevesCytogenetics and Genomics Laboratory, Faculty of Medicine, University of Coimbra, 3000-354, Coimbra, Portugal.
Joana MenoitaCytogenetics and Genomics Laboratory, Faculty of Medicine, University of Coimbra, 3000-354, Coimbra, Portugal.
Francisco MarquesCIMAGO - Center of Investigation on Environment Genetics and Oncobiology - Faculty of Medicine, University of Coimbra, 3000-354, Coimbra, Portugal.
Leonor BarrosoMaxillofacial Surgery Department, Coimbra Hospital and University Centre, CHUC, EPE, 3000-075, Coimbra, Portugal.
Jorge MiguéisDepartment of Otorhinolaryngology - Head and Neck Surgery, Coimbra Hospital and University Centre, CHUC, EPE, 3000-075, Coimbra, Portugal.
Joana Barbosa MeloCytogenetics and Genomics Laboratory, Faculty of Medicine, University of Coimbra, 3000-354, Coimbra, Portugal.
Isabel Marques CarreiraCytogenetics and Genomics Laboratory, Faculty of Medicine, University of Coimbra, 3000-354, Coimbra, Portugal. citogenetica@fmed.uc.pt.
University of Coimbra · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The head and neck squamous cell carcinoma (HNSCC) population consists mainly of high-risk for recurrence and locally advanced stage patients. Increased knowledge of the HNSCC genomic profile can improve early diagnosis and treatment outcomes. The development of models to identify consistent genomic patterns that distinguish HNSCC patients that will recur and/or develop metastasis after treatment is of utmost importance to decrease mortality and improve survival rates. In this study, we used array comparative genomic hybridization data from HNSCC patients to implement a robust model to predict HNSCC recurrence/metastasis. This predictive model showed a good accuracy (>80%) and was validated in an independent population from TCGA data portal. This predictive genomic model comprises chromosomal regions from 5p, 6p, 8p, 9p, 11q, 12q, 15q and 17p, where several upstream and downstream members of signaling pathways that lead to an increase in cell proliferation and invasion are mapped. The introduction of genomic predictive models in clinical practice might contribute to a more individualized clinical management of the HNSCC patients, reducing recurrences and improving patients' quality of life. The power of this genomic model to predict the recurrence and metastases development should be evaluated in other HNSCC populations.

Indexed as

GenomicsModels, StatisticalAdultChromosomes, HumanCohort StudiesComparative Genomic HybridizationFemaleHumansMaleMiddle AgedNeoplasm MetastasisPrognosisRecurrenceSquamous Cell Carcinoma of Head and Neck

Identifiers

PMID29066758
PMCPMC5654944
OpenAlexW2767145410

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.